Semi-supervised domain adaptation via Fredholm integral based kernel methods-Reference-Cited by-同舟云学术

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Semi-supervised domain adaptation via Fredholm integral based kernel methods

Published:2019-01 Issue: Volume:85 Page:185-197
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wang Wei,Wang Hao,Zhang Zhaoxiang,Zhang Chen,Gao Yang

Funder

Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference49 articles.

1. A survey on transfer learning;Pan;IEEE Trans. Knowl. Data Eng.,2010

2. Frustratingly easy domain adaptation;Daumé III,2007

3. Domain adaptation via transfer component analysis;Pan;IEEE Trans. Neural Networks,2011

4. Geodesic flow kernel for unsupervised domain adaptation;Gong,2012

5. Learning cross-domain landmarks for heterogeneous domain adaptation;Hubert Tsai,2016

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